report_05-07-2025_00-22-40.html

[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_439'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_439', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=277994 parent=276411 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57a6d20cd270 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.73s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1100s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1150s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1166s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1214s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1232s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1247s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1271s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1290s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1305s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1320s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1338s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1352s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1367s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1385s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1410s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1430s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1445s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1456s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1472s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1500s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1518s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1530s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1546s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1561s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1580s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1591s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1606s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1618s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1634s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1651s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1666s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1680s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1698s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1714s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1732s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1733s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1735s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:54.983953506 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,11,22,9,2} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,11,22,9,2}

[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_455'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_455', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=277999 parent=277061 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58d3ec39c190 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.79s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1064s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1086s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1102s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1137s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1169s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1197s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1225s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1255s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1273s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1287s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1319s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1332s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1347s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1361s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1409s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1428s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1445s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1460s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1475s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1489s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1506s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1522s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1535s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1547s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1570s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1582s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1599s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1619s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1632s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1644s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1664s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1678s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1693s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1713s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1729s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1730s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1733s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:54.963581097 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,11,22,2} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,11,22,2}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_410'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_410', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=278006 parent=276405 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58a17651d840 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.104s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1113s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1137s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1173s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1194s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1225s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1250s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1274s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1295s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1338s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1384s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1407s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1432s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1452s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1473s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1501s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1522s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1540s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1562s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1582s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1604s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1628s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1653s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.8088s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.8123s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.8138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.8156s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.8172s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.8184s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.8201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.8214s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.8228s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.8240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.8255s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.8270s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.8286s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.8297s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.8311s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.8328s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.8344s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.8345s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.8347s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.003902224 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,11,2,11,22} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,11,2,11,22}

[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_308'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_308', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-1' pid=277995 parent=277199 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw22] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5763740546b0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_308/artifacts/subgraph_0_tidl_net.bin

[gw1] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw1] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw1] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_550'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_550', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=278001 parent=276408 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw1] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5f0c7deb3ac0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.71s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.967s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.983s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.999s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1010s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1025s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1037s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1050s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1061s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1074s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.5087s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.5103s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.5118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.5140s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.5202s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.5213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.5227s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.5237s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.5249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.5263s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.5276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.5288s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.5302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.5313s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.5328s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.5342s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.5356s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.5367s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.5380s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.5391s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.5407s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.5422s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.5436s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.5447s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.5461s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5476s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5490s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5505s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5516s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5529s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5546s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5547s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5548s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18679293 bytes MEM: Free's : 26 free's of 18679293 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:54.908642819 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,43,4,30,4} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,43,4,30,4}

[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_835'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_835', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=277992 parent=276766 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5c0dde41c530 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.72s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1000s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1018s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1031s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1041s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1056s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1067s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1083s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.7691s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.7728s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.7750s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.7765s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.7778s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.7798s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.7818s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.7831s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.7849s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.7864s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.7877s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.7897s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.7915s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.7931s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.7951s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.7968s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.7982s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.8000s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.8015s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.8028s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.8045s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.8063s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.8076s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.8097s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.8110s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.8124s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.8144s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.8158s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.8172s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.8192s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.8209s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.8228s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.8249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.8262s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.8263s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.8265s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:54.928170184 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,11,16,1,11} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,11,16,1,11}

[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_510'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_510', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=278002 parent=276928 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5b41496475b0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.75s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1063s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1078s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1090s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1107s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1121s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1135s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1149s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1164s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1179s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1321s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1333s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1345s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1359s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1373s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1387s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1402s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1413s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1427s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1440s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1454s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1468s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1478s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1519s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1532s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1543s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1557s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1569s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1585s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1596s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1611s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1622s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1639s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1651s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1664s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1676s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1691s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1703s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1719s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1733s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1747s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1748s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1750s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18679293 bytes MEM: Free's : 26 free's of 18679293 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:54.904155456 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,12,30,43,4} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,12,30,43,4}

[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_221'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_221', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-1' pid=278008 parent=276529 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x624a39bb6a70 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_221/artifacts/subgraph_0_tidl_net.bin

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1031'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1031', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=277996 parent=276463 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x567a69489860 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.101s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.37789s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.37834s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.37858s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.37883s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.37913s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.37937s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.37958s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.37979s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.38003s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.38023s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.38043s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.38067s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.38087s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.38110s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.38131s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.38150s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.38168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.38187s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.38207s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.38226s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.38247s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.38273s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.38294s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.38318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.38339s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.38361s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.38382s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.38406s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.38426s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.38443s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.38473s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.38491s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.38511s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.38534s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.38553s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.38570s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.38600s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.38617s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.38637s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.38665s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.38697s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.38700s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.38702s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12700917 bytes MEM: Free's : 26 free's of 12700917 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:54.997895361 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{84,4,11,4} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{84,4,11,4}

[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_192'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_192', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-1' pid=278007 parent=276428 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x596f65b5f0a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_192/artifacts/subgraph_0_tidl_net.bin

[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_277'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_277', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-1' pid=278011 parent=276630 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5716b3eba0a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_277/artifacts/subgraph_0_tidl_net.bin

[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_117'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_117', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=278005 parent=276420 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x591613a84760 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.12s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.108s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1183s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1217s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1248s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1272s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1304s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1337s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1361s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1384s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1412s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1434s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1462s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1488s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1514s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1541s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1571s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1596s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1617s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1643s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1663s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1690s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1718s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1747s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1770s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1796s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1821s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1844s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1873s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1893s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1920s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1947s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1975s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.2054s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.2081s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.2101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.2123s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.2146s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.2173s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2192s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2220s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2273s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2275s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2277s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 14236413 bytes MEM: Free's : 26 free's of 14236413 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:54.975787065 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{80,3,4,80} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{80,3,4,80}

[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_768'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_768', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=278004 parent=276697 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5df57792c3b0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.70s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1092s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1111s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1126s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1141s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1156s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1170s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1183s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1197s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1208s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1221s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1232s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1246s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1261s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1275s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1289s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1300s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1313s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1325s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1340s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1351s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1394s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1406s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1419s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1432s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1446s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1457s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1472s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1484s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1497s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1509s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1522s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1535s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1548s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1560s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1585s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1599s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1616s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1629s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1630s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1631s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:54.905418047 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,16,11} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,16,11}

[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_903'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_903', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=278013 parent=276763 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5dc635f95920 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.91s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.17585s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.17614s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.17649s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.17671s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.17702s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.17731s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.17753s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.17777s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.17803s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.17826s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.17847s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.17866s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.17889s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.17917s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.17942s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.17963s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.17986s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.18006s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.18031s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.18054s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.18077s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.18103s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.18124s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.18148s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.18170s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.18191s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.18287s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.18346s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.18368s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.18394s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.18425s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.18447s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.18471s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.18491s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.18514s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.18534s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.18563s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.18591s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.18613s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.18635s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.18662s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.18664s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.18666s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.034984947 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{138,2,5} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{138,2,5}

[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1036'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1036', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=277997 parent=277131 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62214bdbac30 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.96s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.28578s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.28627s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.28653s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.28682s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.28709s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.28730s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.28754s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.28774s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.28799s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.28828s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.28848s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.28871s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.28894s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.28920s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.28945s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.28969s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.28993s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.29013s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.29036s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.29058s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.29079s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.29106s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.29125s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.29151s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.29179s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.29203s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.29223s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.29309s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.29330s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.29352s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.29378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.29402s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.29424s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.29446s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.29464s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.29486s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.29515s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.29536s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.29562s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.29593s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.29619s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.29621s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.29624s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12700917 bytes MEM: Free's : 26 free's of 12700917 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.033856719 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,66,14,4} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,66,14,4}

[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_549'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_549', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=278014 parent=277296 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62d4c2a82db0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.81s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.909s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.933s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.952s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.971s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.987s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1006s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1025s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1039s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1054s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1074s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1087s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1100s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1120s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1178s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1193s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1207s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1227s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1244s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1261s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1294s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1307s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1323s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1339s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1357s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1372s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1388s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1404s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1423s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1438s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1454s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1471s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1485s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1496s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1515s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1531s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1547s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1566s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1584s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1586s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1589s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18679293 bytes MEM: Free's : 26 free's of 18679293 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:54.931375747 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,43,4,4,30} Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,43,4,4,30}

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1052'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1052', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-1' pid=278009 parent=276417 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60de65c7d2c0 Final number of subgraphs created are : 1, - Offloaded Nodes - 2, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.96s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.5118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.5146s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.5176s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.16209s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.16249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.16273s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.16299s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.16319s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.16342s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.16362s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.16386s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.16408s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.16428s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.16454s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.16481s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.16502s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.16523s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.16547s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.16566s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.16586s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.16609s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.16632s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.16655s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.16679s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.16700s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.16722s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.16746s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.16767s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.16788s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.16809s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.16835s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.16858s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.16880s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.16898s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.16925s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.16943s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.16968s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.16990s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.17012s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.17033s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.17064s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.17066s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.17068s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 15998901 bytes MEM: Free's : 26 free's of 15998901 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 174, in perform_tidl_unit_oneprocess max_nmse = tidl_unit_dataset([results_list])['max_nmse'] File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/datasets/tidl_unit_dataset.py", line 132, in __call__ assert expected_output.shape == output.shape, f" Shape mismatch! Expected {expected_output.shape} got {output.shape}" AssertionError: Shape mismatch! Expected (160, 12, 9, 13) got (2, 12, 9, 13)

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_279'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_279', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-2' pid=279390 parent=276925 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5bb1c630c5b0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_279/artifacts/subgraph_0_tidl_net.bin

[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_689'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_689', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-2' pid=279481 parent=277025 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58cd640ec6a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_689/artifacts/subgraph_0_tidl_net.bin

[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_742'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_742', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-2' pid=279482 parent=277196 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5f34720bee60 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_742/artifacts/subgraph_0_tidl_net.bin

[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_443'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_443', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=279554 parent=276697 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5df577887550 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.112s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.5044s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.5075s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.5102s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.5126s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.5152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.5174s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.5197s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.5218s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.5240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.5263s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.5283s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.5302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.5327s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.5352s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.5377s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.5398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.5417s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.5437s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.5467s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.5488s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.5508s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.5531s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.5560s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.5584s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.5607s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.5630s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.5653s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.5673s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.5696s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.5717s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.5741s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.5761s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.5782s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.5801s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.5823s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5846s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5871s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5892s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5918s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5950s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5975s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5977s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5980s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.183179492 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,9,11,2} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,9,11,2}

[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_301'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_301', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-2' pid=279568 parent=276766 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5c0dde460550 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_301/artifacts/subgraph_0_tidl_net.bin

[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_804'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_804', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=279601 parent=276424 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5d06824abfb0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.104s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.17815s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.17848s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.17867s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.17891s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.17922s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.17944s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.17968s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.17988s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.18006s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.18030s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.18054s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.18075s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.18097s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.18121s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.18145s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.18165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.18188s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.18207s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.18231s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.18254s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.18276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.18303s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.18322s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.18341s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.18370s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.18390s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.18408s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.18427s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.18446s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.18464s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.18490s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.18510s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.18531s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.18553s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.18573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.18591s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.18622s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.18645s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.18663s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.18690s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.18711s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.18713s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.18715s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.278623687 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,1,1,11,11} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,1,1,11,11}

[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_429'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_429', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=279687 parent=276428 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x596f65abb520 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.81s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.837s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.852s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.868s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.880s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.898s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.914s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.926s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.937s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.950s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.962s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.972s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.985s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.997s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1012s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1028s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1038s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1051s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1066s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1078s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1088s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1106s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1131s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1145s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1156s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1170s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1183s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1192s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1205s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1219s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1233s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1245s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1259s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1296s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1310s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1322s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1336s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1349s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1364s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1366s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.208758765 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,2,22,11} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,2,22,11}

[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_21'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_21', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=280051 parent=276420 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x591613bbb0f0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.66s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.782s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.798s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.812s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.823s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.838s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.849s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.862s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.874s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.884s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.894s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.908s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1113s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1128s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1142s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1154s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1174s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1184s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1196s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1210s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1222s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1251s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1261s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1275s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1288s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1299s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1309s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1323s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1334s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1348s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1361s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1374s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1383s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1408s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1433s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1444s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1458s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1472s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1473s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1475s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12305149 bytes MEM: Free's : 26 free's of 12305149 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.256037178 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2048} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2048}

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_488'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_488', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=280061 parent=276414 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6105c5149450 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.71s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.781s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.796s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.809s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.820s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.836s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.848s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.862s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.877s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.890s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.903s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.919s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.932s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.943s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.958s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.970s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.982s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.995s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1005s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1016s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1030s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1042s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1056s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1069s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1080s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1090s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1110s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1124s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1136s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1149s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1162s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1175s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1187s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1199s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1209s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1223s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1233s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1250s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1317s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1333s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1334s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1336s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.278148700 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,2,9,11} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,2,9,11}

[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_517'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_517', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=280086 parent=277061 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58d3ec6b1fe0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.106s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1120s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1148s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.11496s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.11523s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.11551s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.11575s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.11597s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.11706s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.11728s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.11747s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.11766s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.11786s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.11807s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.11835s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.11856s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.11875s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.11897s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.11918s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.11937s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.11956s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.11978s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.12001s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.12022s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.12045s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.12063s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.12083s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.12105s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.12125s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.12146s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.12165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.12190s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.12207s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.12231s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.12252s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.12274s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.12294s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.12316s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.12335s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.12359s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.12380s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.12405s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.12407s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.12409s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18679293 bytes MEM: Free's : 26 free's of 18679293 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.320654405 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,4,43,12,30} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,4,43,12,30}

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_758'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_758', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-3' pid=280338 parent=276925 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5bb1c6350df0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_758/artifacts/subgraph_0_tidl_net.bin

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1025'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1025', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=280362 parent=276405 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58a176651340 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.114s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1069s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1094s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1134s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1156s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1191s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1217s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1242s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1263s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1286s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1309s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1335s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1355s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1408s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1432s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1456s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1484s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1508s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.3680s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.3718s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.3740s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.3767s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.3796s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.3816s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.3841s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.3867s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.3888s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.3910s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.3935s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.3955s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.3981s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.4001s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.4025s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.4047s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.4070s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.4093s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.4119s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.4139s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.4163s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.4191s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.4217s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.4219s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.4222s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.344043942 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,23,5,6,2} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,23,5,6,2}

[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_886'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_886', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=280515 parent=276529 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x624a39c02fe0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.112s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1158s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1184s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1267s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1288s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1312s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1334s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1362s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1387s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1410s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1439s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1460s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1604s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1626s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1647s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1669s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1694s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1714s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1738s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1758s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1779s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1802s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1824s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1844s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1864s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1883s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1903s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1932s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1954s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1979s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1999s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.2019s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.2038s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.12775s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.12803s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.12828s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.12856s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.12887s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.12889s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.12894s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.391537750 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,1,11,16,1} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,1,11,16,1}

[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_659'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_659', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-3' pid=280561 parent=277296 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62d4c28e9870 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_659/artifacts/subgraph_0_tidl_net.bin

[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_593'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_593', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=280563 parent=276428 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x596f65d8d850 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.80s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.858s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.877s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.889s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.904s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.922s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.937s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.952s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.963s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.973s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.987s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.998s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1008s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1024s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1040s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1051s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1066s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1078s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1104s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1115s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1126s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1141s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1166s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1181s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1193s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1202s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1228s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1257s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1267s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1278s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1293s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1306s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1321s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1336s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1349s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1360s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1379s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1394s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1395s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1397s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18679293 bytes MEM: Free's : 26 free's of 18679293 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.390446638 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{30,4,12,4,43} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{30,4,12,4,43}

[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_639'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_639', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-2' pid=280735 parent=276411 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57a6d21fe180 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_639/artifacts/subgraph_0_tidl_net.bin

[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_695'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_695', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-3' pid=280829 parent=277025 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58cd64130bc0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_695/artifacts/subgraph_0_tidl_net.bin

[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_538'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_538', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=280923 parent=277196 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5f34722e7bf0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.101s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1023s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1047s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1078s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1099s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1128s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1151s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1174s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1194s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1241s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1261s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1281s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1304s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1329s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1353s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1465s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1506s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1525s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1546s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1569s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1594s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1619s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1640s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1663s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1683s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1710s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1729s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1751s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1774s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1797s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1816s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1838s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1858s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1879s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1904s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1935s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1953s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1980s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2003s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2025s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2027s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2029s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18679293 bytes MEM: Free's : 26 free's of 18679293 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.515428225 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,4,4,43,30} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{12,4,4,43,30}

[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_489'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_489', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=280987 parent=277131 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62214bcfe9a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.104s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1042s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1067s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1099s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1124s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1150s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1171s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1194s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1235s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1259s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1279s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1323s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1348s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1375s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1399s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1444s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1466s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1510s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1532s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1555s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1581s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1604s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1630s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1660s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1682s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1706s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1734s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1759s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1781s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1921s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1941s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1960s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1983s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.2007s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2027s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2056s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2082s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2106s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2108s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2110s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.453525648 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,2,11,9} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,2,11,9}

[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_157'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_157', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=281211 parent=277125 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x56725587da40 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_157/artifacts/subgraph_0_tidl_net.bin
------------------------------Captured stderr call------------------------------
Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 78, in run_inference self.start_inference() File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 70, in start_inference self.interpreter = self._create_interpreter(is_import=False) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 120, in _create_interpreter interpreter = onnxruntime.InferenceSession(self.kwargs['model_file'], providers=ep_list, File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 387, in __init__ self._create_inference_session(providers, provider_options, disabled_optimizers) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 439, in _create_inference_session sess.initialize_session(providers, provider_options, disabled_optimizers) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Create state function failed. Return value:-1

[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_922'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_922', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=281502 parent=276424 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5d06824ef380 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.108s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.8625s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.8667s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.8688s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.8711s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.8742s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.8765s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.8791s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.8811s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.8832s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.8857s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.8878s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.8900s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.8926s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.8956s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.8979s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.8999s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.9026s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.9046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.9072s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.9099s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.9122s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.9149s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.9173s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.9191s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.9215s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.9239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.9258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.9276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.9299s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.9320s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.9342s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.9366s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.9389s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.9408s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.9434s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.9455s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.9482s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.9507s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.9525s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.9550s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.9575s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.9577s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.9579s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.596069341 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,23,1,6,5} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,23,1,6,5}

[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_743'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_743', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=281503 parent=276928 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5b41494b0760 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_743/artifacts/subgraph_0_tidl_net.bin

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_651'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_651', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=281501 parent=276925 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5bb1c6355870 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_651/artifacts/subgraph_0_tidl_net.bin

[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_150'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_150', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -6
E assert -6 == 0
E + where -6 = <Process name='Process-3' pid=281504 parent=276411 stopped exitcode=-SIGABRT>.exitcode

test_tidl_unit.py:123: AssertionError[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57a6d2201e70 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.116s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1197s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1227s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1288s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1316s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1340s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1369s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1390s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1416s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1438s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1460s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1486s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1517s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.23904s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.23941s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.23971s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.23997s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.24022s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.24044s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.24069s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.24095s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.24123s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.24142s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.24165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.24190s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.24213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.24238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.24258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.24282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.24305s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.24331s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.24352s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.24374s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.24403s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.24433s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.24458s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.24485s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.24510s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.24537s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.24561s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.24589s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.24591s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.24598s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.684411160 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{128,128,8,2} terminate called after throwing an instance of 'onnxruntime::OnnxRuntimeException' what(): /root/onnxruntime/onnxruntime/core/framework/bfc_arena.cc:92 onnxruntime::BFCArena::Chunk* onnxruntime::BFCArena::ChunkFromHandle(onnxruntime::BFCArena::ChunkHandle) h < chunks_.size() was false.

[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_880'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_880', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-4' pid=281506 parent=276428 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw7] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x596f65bb0500 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.88s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.5001s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.5032s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.5049s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.5063s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.5082s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.5096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.5109s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.5119s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.5131s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.5144s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.5156s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.5168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.5182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.5198s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.5216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.5229s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.5244s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.5257s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.5270s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.5287s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.5301s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.5316s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.5330s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.5344s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.5359s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.5374s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.5386s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.5402s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.5417s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.5429s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.5447s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.5461s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.5474s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.5486s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.5499s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.5512s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.5528s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.5543s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.5557s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5590s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5591s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5593s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.560140859 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,16,11,1,1} Process Process-4: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,16,11,1,1}

[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_975'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_975', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-4' pid=281507 parent=277296 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62d4c28efc50 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.73s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.4046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.4065s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.4082s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.4094s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.4108s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.4123s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.4136s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.4146s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.4241s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.4252s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.4262s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.4276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.4290s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.4303s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.4317s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.4330s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.4341s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.4354s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.4365s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.4378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.4392s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.4405s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.4415s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.4428s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.4439s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.4453s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.4467s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.4477s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.4490s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.4505s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.4516s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.4527s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.4546s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.4557s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.4567s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.4579s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.4593s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.4604s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.4619s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.4631s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.4646s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.4646s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.4648s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.561848795 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,1,6,23,2} Process Process-4: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,1,6,23,2}

[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_468'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_468', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-2' pid=281663 parent=276630 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5716b3e16870 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.28619s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.29620s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.29649s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.29678s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.29707s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.29759s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.29782s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.29808s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.29832s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.29850s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.29871s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.29895s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.29913s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.29932s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.29960s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.29982s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.30008s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.30032s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.30051s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.30072s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.30097s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.30119s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.30142s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.30168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.30187s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.30206s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.30230s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.30250s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.30271s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.30299s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.30318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.30341s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.30367s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.30387s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.30408s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.30432s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.30449s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.30475s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.30503s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.30526s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.30552s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.41727s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.41734s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.41739s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.738073090 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,11,2,9} Process Process-2: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,11,2,9}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_524'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_524', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=281595 parent=276405 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58a176838800 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.82s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.842s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.859s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.888s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.900s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.924s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.939s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.952s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.963s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.976s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.990s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1004s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1017s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1030s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1045s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1055s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1068s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1083s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1112s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1124s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1135s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1148s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1162s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1173s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1185s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1200s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1211s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1221s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1235s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1245s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1323s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1336s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1347s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1361s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1374s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1391s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1404s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1417s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1433s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1448s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1449s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1451s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18679293 bytes MEM: Free's : 26 free's of 18679293 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.631337185 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,30,43,4,12} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,30,43,4,12}

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_943'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_943', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-4' pid=282221 parent=276414 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6105c527cb50 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.79s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.2889s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.2912s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.2930s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.2945s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.2961s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.2974s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.2992s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.3006s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.3017s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.3034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.3192s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.3204s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.3219s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.3235s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.3249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.3265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.3276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.3288s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.3302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.3316s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.3333s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.3354s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.3367s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.3382s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.3398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.3413s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.3430s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.3448s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.3462s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.3476s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.3495s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.3508s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.3523s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.3540s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.3555s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.3568s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.3592s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.3608s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.3624s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.3643s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.3657s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.3658s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.3661s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.691018801 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{6,23,2,1,5} Process Process-4: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{6,23,2,1,5}

[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_470'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_470', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-4' pid=282551 parent=276697 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5df57788f060 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.77s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.808s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.824s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.846s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.860s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.874s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.887s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.898s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.911s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.922s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.933s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.944s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.955s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.970s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.984s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.997s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1009s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1019s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1029s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1043s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1055s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1066s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1079s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1092s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1103s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1115s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1140s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1151s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1178s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1192s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1203s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1214s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1224s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1236s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1248s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1262s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1273s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1291s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1306s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1319s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1321s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.768101492 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,2,9,11,11} Process Process-4: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,2,9,11,11}

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_186'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_186', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=282405 parent=276925 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5bb1c63563a0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_186/artifacts/subgraph_0_tidl_net.bin
------------------------------Captured stderr call------------------------------
Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 78, in run_inference self.start_inference() File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 70, in start_inference self.interpreter = self._create_interpreter(is_import=False) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 120, in _create_interpreter interpreter = onnxruntime.InferenceSession(self.kwargs['model_file'], providers=ep_list, File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 387, in __init__ self._create_inference_session(providers, provider_options, disabled_optimizers) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 439, in _create_inference_session sess.initialize_session(providers, provider_options, disabled_optimizers) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Create state function failed. Return value:-1

[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_977'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_977', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=282754 parent=276529 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x624a39c08bc0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.99s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.5851s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.5910s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.5935s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.5954s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.5978s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.5996s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.6015s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.6028s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.6046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.6062s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.6078s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.6091s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.6106s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.6125s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.6138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.6153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.6212s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.6228s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.6244s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.6261s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.6274s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.6293s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.6306s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.6321s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.6336s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.6350s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.6363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.6377s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.6390s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.6404s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.6424s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.6439s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.6458s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.6471s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.6485s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.6498s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.6515s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.6528s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.6545s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.6564s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.6658s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.6659s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.6662s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.806177368 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,1,23,6,2} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,1,23,6,2}

[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_681'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_681', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-5' pid=282986 parent=276928 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5b41494b3a40 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_681/artifacts/subgraph_0_tidl_net.bin

[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_797'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_797', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=282778 parent=276595 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5dc3ec5ca9f0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.104s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.11042s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.11084s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.11106s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.11135s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.11166s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.11189s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.11214s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.11234s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.11255s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.11277s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.11298s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.11321s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.11340s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.11367s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.11392s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.11415s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.11438s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.11457s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.11480s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.11503s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.11528s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.11554s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.11573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.11595s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.11618s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.11640s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.11663s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.11686s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.11708s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.11730s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.11757s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.11779s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.11802s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.11823s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.11845s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.11866s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.11893s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.11913s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.11934s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.11961s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.11989s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.11991s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.11994s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.817263122 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,1,1,11,11} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,1,1,11,11}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_755'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_755', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=282960 parent=276405 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58a176656450 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_755/artifacts/subgraph_0_tidl_net.bin

[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_403'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_403', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=283356 parent=276420 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x591613ad7ab0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.106s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1064s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1090s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1121s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1142s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1174s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1196s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1219s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1278s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1324s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1347s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1375s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1399s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1440s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1461s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1483s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1506s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1525s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1554s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1577s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1598s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1622s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1644s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1668s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1689s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1715s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1735s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1764s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1785s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1809s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1829s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1852s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1873s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1899s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1920s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1944s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1972s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1997s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1999s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2001s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.922378798 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,2,22,11,11} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,2,22,11,11}

[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_219'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_219', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=283560 parent=276411 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw2] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x57a6d2203960 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_219/artifacts/subgraph_0_tidl_net.bin

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_59'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_59', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=283559 parent=276414 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6105c5194290 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.80s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.873s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.887s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.905s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.918s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.934s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.945s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.958s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.972s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.982s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.994s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1005s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1015s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1026s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1041s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1055s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1066s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1077s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1088s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1099s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1111s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1123s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1136s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1147s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1158s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1173s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1184s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1199s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1222s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1234s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1259s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1270s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1284s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1296s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1307s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1326s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1337s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1349s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1375s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1376s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1378s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13157117 bytes MEM: Free's : 26 free's of 13157117 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.908717890 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{8,64,64} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{8,64,64}

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_809'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_809', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-6' pid=283689 parent=276925 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5bb1c635c900 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.98s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.7330s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.7358s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.7383s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.7407s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.7432s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.7457s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.7481s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.7502s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.7521s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.7547s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.7567s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.7585s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.7609s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.7635s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.7658s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.7685s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.7704s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.7722s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.7761s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.7783s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.7801s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.7863s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.7883s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.7900s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.7922s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.7941s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.7958s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.7981s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.8001s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.8021s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.8046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.8066s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.8089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.8111s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.8133s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.8150s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.8176s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.8195s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.8215s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.8239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.8261s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.8263s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.8265s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.972374734 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,11,1,1,11} Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,11,1,1,11}

[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_866'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_866', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=283731 parent=277061 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58d3ec4dbb10 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.108s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.16231s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.16264s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.16295s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.16318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.16348s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.16371s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.16395s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.16416s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.16439s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.16461s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.16486s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.16507s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.16530s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.16558s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.16580s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.16602s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.16625s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.16644s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.16663s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.16688s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.16711s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.16736s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.16762s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.16784s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.16802s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.16826s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.16851s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.16875s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.16897s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.16916s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.16942s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.16966s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.16990s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.17013s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.17038s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.17057s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.17080s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.17103s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.17129s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.17154s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.17182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.17184s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.17187s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.003442633 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,11,16,1,1} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,11,16,1,1}

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_214'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_214', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-3' pid=283776 parent=276463 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x567a694b48b0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_214/artifacts/subgraph_0_tidl_net.bin

[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_954'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_954', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=283733 parent=277196 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5f347210f300 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.86s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.2925s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.2940s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.2961s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.2973s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.2992s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.3005s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.3017s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.3030s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.3043s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.3057s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.3071s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.3083s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.3094s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.3109s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.3124s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.3136s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.3148s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.3158s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.3170s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.3182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.3197s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.3211s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.3223s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.3234s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.3247s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.3263s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.3277s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.3289s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.3301s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.3313s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.3329s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.3339s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.3350s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.3362s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.3375s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.3387s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.3406s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.3416s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.3429s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.3448s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.3463s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.3464s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.3466s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:55.970095464 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,2,6,23,1} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,2,6,23,1}

[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_660'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_660', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-5' pid=283847 parent=277125 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5672558c7930 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_660/artifacts/subgraph_0_tidl_net.bin

[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_285'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_285', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-5' pid=283848 parent=276697 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5df57797b210 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_285/artifacts/subgraph_0_tidl_net.bin

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_574'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_574', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-3' pid=284042 parent=276417 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60de65f951e0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.86s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.931s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.951s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.967s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.983s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1001s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1018s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1033s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1060s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1074s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1091s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1107s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1119s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1135s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1155s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1170s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1185s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1202s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1215s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1228s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1245s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1260s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1274s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1291s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1302s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1317s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1337s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1352s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1365s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1381s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1410s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1426s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1439s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1453s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1469s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1490s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1505s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1524s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1540s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1557s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1558s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1560s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18679293 bytes MEM: Free's : 26 free's of 18679293 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.029451969 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,43,4,30,12} Process Process-3: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,43,4,30,12}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_212'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_212', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-5' pid=284054 parent=276405 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58a176658ee0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_212/artifacts/subgraph_0_tidl_net.bin

[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1022'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1022', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-4' pid=284260 parent=276630 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5716b3f0b590 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.73s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.915s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.933s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.949s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.964s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.979s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.992s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1004s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1015s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1026s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1037s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1048s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1060s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1074s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1091s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1112s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1139s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.9135s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.9161s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.9184s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.9201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.9218s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.9234s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.9249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.9264s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.9279s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.9293s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.9307s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.9320s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.9337s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.9353s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.9370s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.9386s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.9400s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.9416s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.9430s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.9442s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.9458s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.9470s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.9481s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.9499s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.9513s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.9514s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.9517s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.075141563 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,23,6,2,5} Process Process-4: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,23,6,2,5}

[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_262'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_262', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-5' pid=284304 parent=276424 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5d06824f2fb0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_262/artifacts/subgraph_0_tidl_net.bin

[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_916'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_916', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=284662 parent=276763 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5dc635fe4460 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.82s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.846s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.867s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.3853s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.3875s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.3895s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.3911s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.3925s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.3939s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.3952s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.3965s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.3978s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.3989s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.4002s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.4023s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.4034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.4046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.4060s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.4071s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.4086s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.4100s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.4112s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.4127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.4140s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.4154s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.4165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.4179s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.4191s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.4202s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.4214s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.4226s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.4239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.4252s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.4262s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.4272s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.4286s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.4296s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.4314s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.4329s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.4340s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.4352s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.4369s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.4370s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.4371s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.148124207 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,5,1,6,23} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,5,1,6,23}

[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_416'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_416', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-6' pid=284679 parent=277025 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58cd6404fa10 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.114s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1019s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1036s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1053s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1069s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1088s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1115s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1129s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1141s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1154s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1169s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1184s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1196s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1233s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1299s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1311s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1326s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1361s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1373s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1434s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1451s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1467s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1482s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1495s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1512s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1528s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1541s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1554s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1571s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1585s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1597s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1609s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1625s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1638s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1658s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1674s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1689s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1708s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1730s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1731s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1734s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.129705666 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,22,2,11,11} Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{9,22,2,11,11}

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_350'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_350', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=285052 parent=276463 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x567a694b8180 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_350/artifacts/subgraph_0_tidl_net.bin

[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_766'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_766', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=285054 parent=276928 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5b41494bae10 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.91s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.9061s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.9089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.9108s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.9119s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.9137s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.9154s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.9170s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.9187s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.9205s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.9217s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.9232s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.9249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.9264s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.9282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.9300s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.9313s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.9326s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.9340s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.9358s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.9372s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.9391s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.9408s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.9421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.9438s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.9455s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.9482s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.9499s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.9512s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.9527s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.9544s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.9560s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.9572s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.9594s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.9607s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.9636s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.9652s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.9670s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.9681s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.9699s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.9725s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.9737s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.9738s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.9741s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.206052527 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{176,1,11} Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{176,1,11}

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_225'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_225', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-4' pid=285160 parent=276417 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60de65db5700 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_225/artifacts/subgraph_0_tidl_net.bin

[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_338'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_338', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-6' pid=285684 parent=276763 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw13] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5dc635fe61b0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_338/artifacts/subgraph_0_tidl_net.bin

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1040'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1040', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=285728 parent=276414 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6105c52a12c0 Final number of subgraphs created are : 1, - Offloaded Nodes - 2, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.90s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.987s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1009s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1022s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1035s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1052s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1066s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1082s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1112s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1126s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1141s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1164s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1180s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1195s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1208s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1218s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1232s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1245s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1259s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1275s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1290s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1301s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1312s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1323s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1334s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1349s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1363s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1375s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1387s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1402s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1413s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1427s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1437s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1449s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1461s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1478s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1491s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1503s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1516s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1529s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1530s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1532s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12575533 bytes MEM: Free's : 26 free's of 12575533 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 174, in perform_tidl_unit_oneprocess max_nmse = tidl_unit_dataset([results_list])['max_nmse'] File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/datasets/tidl_unit_dataset.py", line 132, in __call__ assert expected_output.shape == output.shape, f" Shape mismatch! Expected {expected_output.shape} got {output.shape}" AssertionError: Shape mismatch! Expected (924, 4, 4) got (4, 4, 4)

[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1049'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1049', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=285729 parent=277196 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5f3472025f60 Final number of subgraphs created are : 1, - Offloaded Nodes - 2, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.12s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.105s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1114s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1171s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1200s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1233s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1255s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1275s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1294s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1317s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1340s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1359s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1422s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1445s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1467s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1507s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1526s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1547s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1571s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1594s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1617s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1635s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1658s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1681s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1704s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1724s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1778s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1798s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.12215s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.12238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.12263s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.12282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.12303s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.12326s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.12357s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.12376s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.12402s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.12426s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.12447s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.12449s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.12453s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 16180957 bytes MEM: Free's : 26 free's of 16180957 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 174, in perform_tidl_unit_oneprocess max_nmse = tidl_unit_dataset([results_list])['max_nmse'] File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/datasets/tidl_unit_dataset.py", line 132, in __call__ assert expected_output.shape == output.shape, f" Shape mismatch! Expected {expected_output.shape} got {output.shape}" AssertionError: Shape mismatch! Expected (26, 864, 10) got (2, 864, 10)

[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_824'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_824', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-6' pid=285732 parent=277125 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5672558cdd10 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.102s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.9102s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.9133s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.9167s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.9187s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.9215s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.9241s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.9406s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.9430s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.9454s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.9475s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.9494s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.9514s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.9538s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.9563s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.9586s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.9607s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.9632s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.9656s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.9678s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.9701s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.9726s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.9755s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.9772s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.9792s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.9817s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.9842s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.9862s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.9885s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.9906s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.9924s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.9950s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.9971s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.9989s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.10011s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.10034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.10057s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.10085s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.10108s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.10127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.10152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.10178s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.10180s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.10183s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.413495766 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,1,11,11,16} Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{1,1,11,11,16}

[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_741'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_741', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-7' pid=285731 parent=277131 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62214bdf44f0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_741/artifacts/subgraph_0_tidl_net.bin

[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1046'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1046', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=285733 parent=277025 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw17] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58cd64051a50 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.94s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.991s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1016s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1041s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1060s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1133s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1173s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1192s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1212s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1232s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1255s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1280s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1306s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1334s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1355s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1380s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1403s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1423s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1449s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1473s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1493s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1519s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1544s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1566s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1593s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1614s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1636s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1661s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1681s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1700s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1729s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1748s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1770s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1792s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1811s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1831s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1861s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1881s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1903s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1930s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1955s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1957s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1959s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 17955237 bytes MEM: Free's : 26 free's of 17955237 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.375037706 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{192,9,10,13} Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{192,9,10,13}

[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_907'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_907', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-6' pid=286020 parent=276595 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5dc3ec60fcd0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.3s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.75s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1954s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1970s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1981s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1995s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.2013s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.2024s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.2039s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.2051s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.2062s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.2074s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.2086s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.2099s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.2110s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.2124s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.2142s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.2153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.2165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.2178s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.2189s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.2200s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.2216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.2229s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.2239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.2253s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.2265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.2276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.2291s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.2303s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.2314s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.2330s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.2344s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.2355s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.2368s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.2379s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.2391s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.2405s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.2421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2433s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2448s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2461s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2477s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2478s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2480s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.403907305 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,6,5,1,23} Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,6,5,1,23}

[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_259'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_259', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-7' pid=286180 parent=276420 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw5] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x591613bc5de0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_259/artifacts/subgraph_0_tidl_net.bin

[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_959'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_959', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=286256 parent=276928 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5b41494be850 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.99s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.2151s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.2168s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.2182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.2201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.2217s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.2231s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.2243s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.2256s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.2269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.2282s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.2295s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.2306s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.2318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.2332s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.2348s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.2360s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.2373s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.2384s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.2397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.2410s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.2425s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.2440s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.2451s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.2463s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.2475s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.2487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.2501s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.2513s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.2526s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.2537s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.2550s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.2563s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.2578s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.2588s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.2602s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.2613s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.2627s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2639s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2654s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2667s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2683s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2684s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2686s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.427149339 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,2,1,23,6} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{5,2,1,23,6}

[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_491'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_491', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=286364 parent=276417 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw4] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x60de65ccd100 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.103s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.15316s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.15360s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.15381s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.15412s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.15445s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.15471s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.15493s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.15514s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.15539s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.15562s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.15587s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.15607s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.15627s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.15652s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.15677s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.15697s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.15718s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.15740s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.15761s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.15783s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.15805s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.15829s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.15850s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.15874s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.15894s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.15914s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.15939s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.15960s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.15979s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.16001s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.16041s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.16060s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.16082s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.16103s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.16126s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.16172s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.16200s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.16220s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.16242s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.16264s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.16289s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.16291s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.16293s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.460805302 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,9,11,2} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{22,11,9,11,2}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_466'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_466', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-7' pid=286562 parent=276405 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58a1765754d0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.69s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.978s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.993s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1016s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1027s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1061s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1075s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1087s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1100s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1113s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1150s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1164s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1176s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1191s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1205s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.13239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.13275s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.13294s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.13310s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.13328s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.13345s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.13361s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.13377s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.13391s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.13406s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.13419s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.13434s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.13449s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.13465s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.13477s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.13496s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.13508s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.13522s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.13539s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.13556s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.13571s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.13589s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.13605s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.13622s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.13623s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.13626s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.487144624 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,9,2,11} Process Process-7: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,22,9,2,11}

[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_673'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_673', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-7' pid=286517 parent=277296 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62d4c28f57e0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_673/artifacts/subgraph_0_tidl_net.bin

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_452'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_452', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-5' pid=286519 parent=276463 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x567a693cf6d0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.3s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.67s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1020s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1037s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1056s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1073s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1091s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1106s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1123s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1136s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1149s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1162s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1173s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1185s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1197s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1226s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1268s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1280s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1293s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1309s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1323s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1335s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1350s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1393s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1404s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1420s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1431s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1442s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1457s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1472s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1484s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1498s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1508s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1518s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1530s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1549s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1559s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1586s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1601s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1602s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1604s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.471660859 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,2,11,22} Process Process-5: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,9,2,11,22}

[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_342'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_342', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-6' pid=286585 parent=276630 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw11] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5716b3f0c5d0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_342/artifacts/subgraph_0_tidl_net.bin

[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_661'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_661', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-7' pid=286675 parent=276766 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5c0dde46d400 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_661/artifacts/subgraph_0_tidl_net.bin

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_1051'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_1051', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=287134 parent=276414 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6105c519e0d0 Final number of subgraphs created are : 1, - Offloaded Nodes - 2, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.104s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.2493s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.2514s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.2533s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.2548s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.2566s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.2581s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.2598s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.2619s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.2634s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.2651s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.2666s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.2681s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.2696s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.2712s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.2728s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.2742s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.2754s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.2768s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.2781s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.2797s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.2812s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.2829s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.2841s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.2856s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.2869s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.2883s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.2901s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.2917s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.2935s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.2952s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.2967s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.2983s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.2998s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.3010s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.3028s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.3040s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.3059s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.3075s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.3089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.3104s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.3123s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.3124s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.3126s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 15991837 bytes MEM: Free's : 26 free's of 15991837 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 174, in perform_tidl_unit_oneprocess max_nmse = tidl_unit_dataset([results_list])['max_nmse'] File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/datasets/tidl_unit_dataset.py", line 132, in __call__ assert expected_output.shape == output.shape, f" Shape mismatch! Expected {expected_output.shape} got {output.shape}" AssertionError: Shape mismatch! Expected (234, 8, 12, 10) got (2, 8, 12, 10)

[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_70'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_70', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=287421 parent=277131 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw20] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62214bd0a020 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.73s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.858s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.873s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.892s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.906s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.920s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.931s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.945s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.957s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.971s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.983s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.996s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1007s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1020s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1082s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1110s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1125s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1136s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1148s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1161s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1172s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1186s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1199s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1209s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1222s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1250s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1260s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1274s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1285s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1299s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1312s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1325s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1336s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1348s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1358s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1373s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1387s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1399s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1411s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1428s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1429s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1431s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13157117 bytes MEM: Free's : 26 free's of 13157117 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.620073014 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,64,64,2} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{4,64,64,2}

[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_170'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_170', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-9' pid=287530 parent=276928 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw16] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5b41494c0b50 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_170/artifacts/subgraph_0_tidl_net.bin
------------------------------Captured stderr call------------------------------
Process Process-9: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 78, in run_inference self.start_inference() File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 70, in start_inference self.interpreter = self._create_interpreter(is_import=False) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 120, in _create_interpreter interpreter = onnxruntime.InferenceSession(self.kwargs['model_file'], providers=ep_list, File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 387, in __init__ self._create_inference_session(providers, provider_options, disabled_optimizers) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 439, in _create_inference_session sess.initialize_session(providers, provider_options, disabled_optimizers) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Create state function failed. Return value:-1

[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_18'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_18', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=287722 parent=277296 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw23] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x62d4c28f89d0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.77s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.866s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.885s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.899s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.914s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.929s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.945s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.961s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.972s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.983s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1000s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1013s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1024s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1041s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1056s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1068s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1086s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1097s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1108s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1125s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1138s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1153s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1174s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1186s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1196s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1210s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1224s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1239s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1253s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1267s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1279s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1294s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1308s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1322s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1336s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1347s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1357s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1373s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1385s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1399s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1415s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1433s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1434s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1436s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12266237 bytes MEM: Free's : 26 free's of 12266237 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.640785351 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,64} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,64}

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_883'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_883', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-6' pid=287957 parent=276463 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x567a694c1830 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.101s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1126s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1154s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1187s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1207s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1236s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.20588s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.20631s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.20660s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.20687s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.20714s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.20738s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.20758s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.20783s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.20813s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.20839s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.20865s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.20885s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.20904s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.20938s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.20960s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.20986s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.21018s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.21046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.21069s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.21098s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.21120s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.21149s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.21179s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.21199s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.21219s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.21252s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.21272s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.21294s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.21319s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.21338s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.21358s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.21390s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.21409s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.21430s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.21456s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.21483s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.21485s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.21487s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.721874674 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,1,16,1,11} Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,1,16,1,11}

[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_95'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_95', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=287962 parent=276405 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw0] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58a176578b20 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.4s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.75s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.998s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1026s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1045s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1058s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1080s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1094s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1110s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1125s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1139s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1170s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1185s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1200s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1218s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1230s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1243s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1262s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1278s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1291s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1308s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1321s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1335s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1352s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1366s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1380s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1409s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1444s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1458s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1475s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1490s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1506s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1518s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1537s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1552s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1567s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1582s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1596s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1614s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1634s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1635s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1637s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 14236413 bytes MEM: Free's : 26 free's of 14236413 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.728597463 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{240,4,80} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{240,4,80}

[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_87'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_87', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=287964 parent=276766 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw14] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5c0dde383230 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.11s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.100s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1042s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1069s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1101s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1123s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1152s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.24151s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.24194s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.24213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.24376s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.24398s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.24418s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.24437s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.24460s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.24492s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.24511s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.24533s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.24552s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.24571s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.24595s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.24619s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.24642s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.24667s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.24688s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.24707s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.24728s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.24749s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.24769s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.24788s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.24810s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.24827s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.24849s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.24867s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.24888s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.24910s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.24928s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.24946s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.24970s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.24989s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.25013s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.25034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.25056s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.25058s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.25060s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13157117 bytes MEM: Free's : 26 free's of 13157117 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.829534743 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{64,64,4,2} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{64,64,4,2}

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_815'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_815', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-9' pid=287963 parent=276414 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x6105c52906c0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.102s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1038s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1060s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1074s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1087s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1107s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1121s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1139s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1157s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1171s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1185s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1216s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1228s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1245s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1258s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1270s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1301s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1314s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1326s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1341s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1355s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1370s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1383s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1395s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1407s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1436s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1451s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1467s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1482s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1495s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1508s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1523s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1535s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1552s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1563s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1579s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1595s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1609s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1622s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1639s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1640s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1642s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12317309 bytes MEM: Free's : 26 free's of 12317309 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.735427937 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,11,1,1,11} Process Process-9: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{16,11,1,1,11}

[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_92'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_92', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=287991 parent=276697 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5df577897570 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.71s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.14130s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.14165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.14181s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.14197s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.14213s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.14229s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.14240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.14252s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.14265s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.14279s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.14291s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.14305s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.14321s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.14334s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.14352s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.14364s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.14375s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.14389s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.14404s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.14417s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.14431s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.14443s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.14456s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.14473s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.14486s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.14499s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.14515s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.14527s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.14540s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.14557s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.14576s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.14587s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.14602s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.14613s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.14629s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.14644s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.14658s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.14669s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.14686s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.14701s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.14714s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.14715s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.14717s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 14236413 bytes MEM: Free's : 26 free's of 14236413 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.731043038 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{240,320} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{240,320}

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_746'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_746', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-10' pid=287980 parent=276925 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5bb1c63640f0 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 Invoke : ERROR: Unable to open network file ./work_dirs/modelartifacts/8bits/Reshape_746/artifacts/subgraph_0_tidl_net.bin

[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_917'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_917', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-8' pid=288589 parent=277125 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x5672558d1c80 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.87s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.854s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.869s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.998s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1011s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1033s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1050s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1065s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1079s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1093s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1106s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1117s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1128s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1142s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1157s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1170s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1196s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1211s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1438s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1454s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1467s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1482s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1493s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1505s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1518s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1537s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1548s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1558s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1583s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1597s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1611s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1621s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1631s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1648s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1660s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1675s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1691s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1702s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1714s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1733s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1734s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1736s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 12288637 bytes MEM: Free's : 26 free's of 12288637 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.775247199 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,5,1,23,6} Process Process-8: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{2,5,1,23,6}

[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = True, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'Reshape_425'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = True, test_name = 'Reshape_425', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/Reshape'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-9' pid=288746 parent=277061 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw18] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
libtidl_onnxrt_EP loaded 0x58d3ec3f7500 Final number of subgraphs created are : 1, - Offloaded Nodes - 1, Total Nodes - 2 The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.3375s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.7190s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.7219s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.7236s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.7249s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.7269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.7285s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.7300s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.7313s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.7329s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.7343s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.7357s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.7372s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.7387s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.7406s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.7421s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.7497s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.7513s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.7527s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.7542s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.7556s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.7573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.7590s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.7611s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.7625s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.7638s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.7655s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.7671s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.7686s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.7703s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.7715s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.7735s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.7750s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.7765s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.7780s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.7797s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.7809s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.7826s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.7841s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.7855s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.7872s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.7893s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.7894s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.7896s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO Warning : Couldn't find corresponding ioBuf tensor for onnx tensor with matching name MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 13442189 bytes MEM: Free's : 26 free's of 13442189 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
2025-05-07 00:22:56.825710001 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,2,11,22,9} Process Process-9: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 167, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_inference(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 81, in run_inference return self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Reshape node. Name:'reshape_node' Status Message: /root/onnxruntime/onnxruntime/core/providers/cpu/tensor/reshape_helper.h:40 onnxruntime::ReshapeHelper::ReshapeHelper(const onnxruntime::TensorShape&, onnxruntime::TensorShapeVector&, bool) gsl::narrow_cast<int64_t>(input_shape.Size()) == size was false. The input tensor cannot be reshaped to the requested shape. Input shape:{}, requested shape:{11,2,11,22,9}